Skip to main content

Python interface for ka9q-radio control and monitoring

Project description

ka9q-python

PyPI version License: MIT

General-purpose Python library for controlling ka9q-radio

Control radiod channels for any application: AM/FM/SSB radio, WSPR monitoring, SuperDARN radar, CODAR oceanography, HF fax, satellite downlinks, and more.

Note: Package name is ka9q-python out of respect for KA9Q (Phil Karn's callsign). Import as import ka9q.

Table of Contents

Features

  • Complete radiod API — all 110+ TLV status/command parameters exposed, generated from ka9q-radio's C headers
  • Four stream abstractionsRTPRecorder (raw packets), RadiodStream (samples + gap handling), ManagedStream (self-healing single channel), MultiStream (shared socket, many SSRCs)
  • Typed status decoderChannelStatus, FrontendStatus, PllStatus, etc. with dotted-path field access
  • Precise RTP timing — GPS_TIME / RTP_TIMESNAP for sample-accurate wallclock timestamps
  • LAN discovery — enumerate radiod instances and their active channels via mDNS
  • CLI + TUIka9q list / query / set / tui for interactive and scripted control
  • Multi-homed — explicit interface selection for hosts with multiple NICs
  • Protocol drift detection — pinned to a specific ka9q-radio commit, with a sync script
  • Pure Python — NumPy is the only runtime dependency

Installation

pip install ka9q-python

Or install from source:

git clone https://github.com/mijahauan/ka9q-python.git
cd ka9q-python
pip install -e .

Quick Start

Host selection: All examples reference bee1-hf-status.local, which is the default integration test radiod in this repo. Replace it with your own radiod host or set RADIOD_HOST, RADIOD_ADDRESS, or the --radiod-host pytest option when running in other environments.

Listen to AM Broadcast

from ka9q import RadiodControl

# Connect to radiod (default test host: bee1-hf-status.local)
control = RadiodControl("bee1-hf-status.local")

# Create AM channel on 10 MHz WWV
control.create_channel(
    ssrc=10000000,
    frequency_hz=10.0e6,
    preset="am",
    sample_rate=12000
)

# RTP stream now available with SSRC 10000000

Request Specific Output Encoding

from ka9q import RadiodControl, Encoding

control = RadiodControl("bee1-hf-status.local")

# Create a channel with 32-bit float output (highest quality)
control.ensure_channel(
    frequency_hz=14.074e6,
    preset="usb",
    sample_rate=12000,
    encoding=Encoding.F32
)

Monitor WSPR Bands

from ka9q import RadiodControl

control = RadiodControl("bee1-hf-status.local")

wspr_bands = [
    (1.8366e6, "160m"),
    (3.5686e6, "80m"),
    (7.0386e6, "40m"),
    (10.1387e6, "30m"),
    (14.0956e6, "20m"),
]

for freq, band in wspr_bands:
    control.create_channel(
        ssrc=int(freq),
        frequency_hz=freq,
        preset="usb",
        sample_rate=12000
    )
    print(f"{band} WSPR channel created")

Discover Existing Channels

from ka9q import discover_channels

channels = discover_channels("bee1-hf-status.local")
for ssrc, info in channels.items():
    print(f"{ssrc}: {info.frequency/1e6:.3f} MHz, {info.preset}, {info.sample_rate} Hz")

Record RTP Stream with Precise Timing

from ka9q import discover_channels, RTPRecorder
import time

# Get channel with timing info
channels = discover_channels("bee1-hf-status.local")
channel = channels[14074000]

# Define packet handler
def handle_packet(header, payload, wallclock):
    print(f"Packet at {wallclock}: {len(payload)} bytes")

# Create and start recorder
recorder = RTPRecorder(channel=channel, on_packet=handle_packet)
recorder.start()
recorder.start_recording()
time.sleep(60)  # Record for 60 seconds
recorder.stop_recording()
recorder.stop()

Multi-Homed Systems

For systems with multiple network interfaces, specify which interface to use:

from ka9q import RadiodControl, discover_channels

# Specify your interface IP address
my_interface = "192.168.1.100"

# Create control with specific interface
control = RadiodControl("bee1-hf-status.local", interface=my_interface)

# Discovery on specific interface
channels = discover_channels("bee1-hf-status.local", interface=my_interface)

Automatic Channel Recovery

ensure your channels survive radiod restarts:

from ka9q import RadiodControl, ChannelMonitor

control = RadiodControl("bee1-hf-status.local")
monitor = ChannelMonitor(control)
monitor.start()

# This channel will be automatically re-created if it disappears
monitor.monitor_channel(
    frequency_hz=14.074e6,
    preset="usb",
    sample_rate=12000
)

Channel Cleanup (frequency = 0)

radiod removes channels by polling for streams whose frequency is set to 0 Hz. Always call remove_channel(ssrc) (or explicitly set set_frequency(ssrc, 0.0) if you build TLVs yourself) when tearing down a stream so the background poller can reclaim it:

with RadiodControl("bee1-hf-status.local") as control:
    info = control.ensure_channel(
        frequency_hz=10e6,
        preset="iq",
        sample_rate=16000
    )

    # ... use channel ...

    control.remove_channel(info.ssrc)  # marks frequency=0

Note: remove_channel() finishes instantly on the client; radiod’s poller typically purges the channel within the next second.

ka9q-radio Compatibility

ka9q-python tracks a specific git commit of ka9q-radio to ensure its protocol definitions (StatusType, Encoding) match the C headers exactly. This prevents subtle bugs from protocol drift between the two projects.

How It Works

File Role
ka9q_radio_compat Plain-text pin recording the validated ka9q-radio commit hash
ka9q/compat.py Importable KA9Q_RADIO_COMMIT constant for deployment tooling
ka9q/types.py Auto-generated from ka9q-radio's status.h and rtp.h
scripts/sync_types.py The tool that parses C headers and regenerates types.py
tests/test_protocol_compat.py Drift test (runs automatically if ../ka9q-radio exists)

Checking for Drift

If you have the ka9q-radio source tree at ../ka9q-radio:

python scripts/sync_types.py --check    # CI mode: exits non-zero on drift
python scripts/sync_types.py --diff     # Preview changes without modifying anything

Syncing After ka9q-radio Updates

python scripts/sync_types.py --apply    # Regenerates types.py, updates pins
git diff ka9q/types.py                  # Review the changes
python -m pytest tests/                 # Verify nothing broke

The --apply mode updates three files atomically:

  1. ka9q/types.py — regenerated from the C headers
  2. ka9q_radio_compat — updated with the new commit hash
  3. ka9q/compat.py — updated with the new commit hash (importable)

For Deployment Tooling

ka9q-update (or any deployment tool) can read the pinned commit to ensure the correct radiod version is running:

from ka9q.compat import KA9Q_RADIO_COMMIT

print(f"This ka9q-python requires ka9q-radio at {KA9Q_RADIO_COMMIT[:12]}")

Running the Drift Test

The pytest drift test runs automatically as part of the test suite:

python -m pytest tests/test_protocol_compat.py -v

It auto-skips if ../ka9q-radio is not present, so CI environments without the C source tree are unaffected.

Documentation

Examples

See examples/ for runnable scripts:

Use Cases

See docs/RECIPES.md for worked examples of:

  • LAN probing — enumerate radiod instances and their active channels
  • Fixed-channel pipelines — WSPR, PSK/FT8, HF timing (bundled band plans, MultiStream); see companion projects wspr-recorder, psk-recorder, hf-timestd
  • Nimble channel switching — single-channel SWL-style retuning driven from the CLI or an app
  • SDR portability — ka9q-python talks to radiod, which talks to the SDR; reporting frontend capabilities via FrontendStatus. Primary tested frontend is the RX888; AirspyR2 and Airspy HF+ support is in development.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ka9q_python-3.12.0.tar.gz (241.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ka9q_python-3.12.0-py3-none-any.whl (99.7 kB view details)

Uploaded Python 3

File details

Details for the file ka9q_python-3.12.0.tar.gz.

File metadata

  • Download URL: ka9q_python-3.12.0.tar.gz
  • Upload date:
  • Size: 241.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.2

File hashes

Hashes for ka9q_python-3.12.0.tar.gz
Algorithm Hash digest
SHA256 d27dc43f746348c84e54f772dce2653b9426eed92e07c3d2807ccbc185526228
MD5 ba1fc294fa45408f9b6dce98f8290401
BLAKE2b-256 a8246fa35312ed585e8897f391fd7ad402adb73bbb4c396532eee7e6df4821b7

See more details on using hashes here.

File details

Details for the file ka9q_python-3.12.0-py3-none-any.whl.

File metadata

  • Download URL: ka9q_python-3.12.0-py3-none-any.whl
  • Upload date:
  • Size: 99.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.2

File hashes

Hashes for ka9q_python-3.12.0-py3-none-any.whl
Algorithm Hash digest
SHA256 bc5b9058131c5a9a017d83adcc60ab4c538c9863e0019862a85f4b9ada40811b
MD5 35643000a9280f774a1dbe316ea62171
BLAKE2b-256 ad9b2bfa35acd23f778bfa0826255514706240e116d4c355a873725ee8c72b80

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page